Abstract：A 3D facial expressional motion tracking algorithm based on online model adaptation and updating is proposed. It constructs the online model using an adaptive statistic observation model. With the combination of adaptive state transition model and improved particle filter, statistic search and determinate search are proposed simultaneously. Multi-measurements are infused to decrease lighting influence and person dependence. With the proposed algorithm, the global rigid motion parameters and local non rigid expressional parameters are obtained. Experiment result confirms the effectiveness of the proposed algorithm.
於俊，汪增福. 一种基于在线模型匹配与更新的人脸三维表情运动跟踪算法[J]. 模式识别与人工智能, 2011, 24(2): 168-175.
YU Jun, WANG Zeng-Fu. 3D Facial Expressional Motion Tracking Algorithm Based on Online Model Adaptation and Updating. , 2011, 24(2): 168-175.
[1] Black M J, Yacoob Y. Recognizing Facial Expressions in Image Sequences Using Local Parameterized Models of Image Motion. International Journal of Computer Vision, 1997, 25(1): 23-28 [2] Gokturk S B, Bouguet J Y, Grzeszczuk R. A Data-Driven Model for Monocular Face Tracking // Proc of the 8th IEEE International Conference on Computer Vision. Hawaii, USA, 2001, Ⅱ: 701-708 [3] Strm J, Jebara I, Pentland A. Model-Based Real-Time Face Tracking with Adaptive Texture Update. Technical Report, LiTH-ISY-R-2342, Linkping, Sweden: Linkping University. Department of Electrical Engineering, 2001: 1-10 [4] Cascia M L, Sclaroft S, Athitsos V. Fast, Reliable Head Tracking under Varying Illumination: An Approach Based on Registration of Texture Mapped 3D Models. IEEE Trans on Pattern Analysis and Machine Intelligence, 2000, 22(4): 322-336 [5] Ahlberg J. Model-Based Coding: Extraction, Coding, and Evaluation of Face Model Parameters. Ph.D Dissertation. Linkping, Sweden : Linkping University. Department of Electrical Engineering, 2002 [6] Cootes T F, Edwards G J, Taylor C J. Active Appearance Models. IEEE Trans on Pattern Analysis and Machine Intelligence, 2001, 23(6): 681-684 [7] Jepson A D, Fleet D J, El-Maraghi T F. Robust Online Appearance Models for Visual Tracking. IEEE Trans on Pattern Analysis and Machine Intelligence, 2003, 25(10): 1296-1311 [8] Dornaika F, Davoine F. Simultaneous Facial Action Tracking and Expression Recognition in the Presence of Head Motion. Journal of Computer Vision, 2008, 76(2): 257-281 [9] Zhou S, Chellappa R, Mogghaddam B. Visual Tracking and Recognition Using Appearance-Adaptive Models in Particle Filters. IEEE Trans on Image Processing, 2004, 13(11): 1491-1506 [10] Ahlberg J. CANDIDE3-An Updated Parameterized Face. Technical Report, LiTH-ISY-R-2326, Linkping, Sweden: Linkping University. Department of Electrical Engineering, 2001: 1-16 [11] Grassberger P. The Pruned-Enriched Rosenbluth Method: Simulations of Theta Polymers of Chain Length up to 1 000 000. Physical Review E, 1997, 56(6): 3682-3693 [12] Wen Zhen, Huang T S. Capturing Subtle Facial Motions in 3D Face Tracking // Proc of the 9th IEEE International Conference on Computer Vision. Nice, France, 2003, Ⅱ: 1343-1350 [13] Kanade T, Cohn J, Tian Y. Comprehensive Database for Facial Expression Analysis // Proc of the 4th IEEE International Conference on Automatic Face and Gesture Recognition. Grenoble, France, 2000: 46-53
2011, Vol. 24 
